The Art And The Artificial Intelligence: How The Value Of Real Art Is Increased


Book Description

In a world where artificial intelligence (AI) generates stunning works of art, the authenticity and uniqueness of human craftsmanship threatens to fade into the background. But this book is a plea for the magic that can only be created by human creativity - a homage to the uniqueness and immortality of handmade art in the age of AI. This book shows how artists are using the power of AI not to replace their creativity, but to enrich it. We discover how artists use technology as a source of inspiration to explore new horizons and create unique forms of expression. „The Art And The Artificial Intelligence“ offers succinctly the most important approaches how artists with courage and passion preserve their unique artistic identity and emphasize the importance of originality. Limited editions, individual signatures and personal perspectives create artworks that stand out from the digital crowd and create an unparalleled connection with the viewer. This book is an invitation to celebrate the beauty, depth and meaning of human creativity and to recognize that in the age of AI, the real magic lies in the uniqueness and immortality of handmade art. About the author: York P. Herpers is the author of the well-known exercise book series „Practice Drawing“ (Practice-Drawing.com) and the coloring book series „Cool Down“ (CooldownColoring.com). Both series offer over 100 different theme worlds for freehand drawing and coloring of individual one-offs. The promotion of the art world is very important to the passionate painter and draftsman. As a programmer and businessman, he is also very familiar with AI on a technological level, and this book gives him a valuable perspective on the future of the art industry.




Art and Artificial Intelligence


Book Description

The overriding question discussed in this Element can be stated simply as: can computers create art? This Element presents an overview of the controversies raised by various answers to this question. A major difficulty is that the technology is developing rapidly, and there are still many uncertainties and knowledge gaps as to what is possible today and in the near future. But a number of controversial issues are identified and discussed. The position taken on controversial issues will depend on assumptions made about the technology, about the nature and location of consciousness, about art and creativity. Therefore, a number of hypothetical answers are outlined, related to the assumptions made.




AI for Arts


Book Description

AI for Arts is a book for anyone fascinated by the man–machine connection, an unstoppable evolution that is intertwining us with technology in an ever-greater degree, and where there is an increasing concern that it will be technology that comes out on top. Thus, presented here through perhaps its most esoteric form, namely art, this unfolding conundrum is brought to its apex. What is left of us humans if artificial intelligence also surpasses us when it comes to art? The articulation of an artificial intelligence art manifesto is long overdue, so hopefully this book can fill a gap that will have repercussions not only for aesthetic and philosophical considerations but possibly more so for the development of artificial intelligence.




Artificial Intelligence and the Arts


Book Description

Emotions, creativity, aesthetics, artistic behavior, divergent thoughts, and curiosity are both fundamental to the human experience and instrumental in the development of human-centered artificial intelligence systems that can relate, communicate, and understand human motivations, desires, and needs. In this book the editors put forward two core propositions: creative artistic behavior is one of the key challenges of artificial intelligence research, and computer-assisted creativity and human-centered artificial intelligence systems are the driving forces for research in this area. The invited chapters examine computational creativity and more specifically systems that exhibit artistic behavior or can improve humans' creative and artistic abilities. The authors synthesize and reflect on current trends, identify core challenges and opportunities, and present novel contributions and applications in domains such as the visual arts, music, 3D environments, and games. The book will be valuable for researchers, creatives, and others engaged with the relationship between artificial intelligence and the arts.




EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON VISUAL ARTS: TECHNOLOGICAL ADVANCEMENTS, MARKET DYNAMICS, ETHICAL CONSIDERATIONS, AND HUMAN CREATIVITY


Book Description

This research investigates the multifaceted impact of artificial intelligence (AI) on visual arts, drawing upon data collected from 18 respondents from the School of the Art Institute of Chicago (SAIC) and 16 respondents from the Royal College of Art (RCA). Employing a mixed-methods approach, including qualitative and quantitative analyses, the study examines the implications of AI-generated art for artistic practice, market valuation, ethical dilemmas, and collaborative creativity. Through interviews, focus groups, surveys, and observational studies conducted across art institutes, galleries, and AI research labs, the research identifies key themes such as the integration of AI technologies like GANs and transformer models in artistic processes, market acceptance, and valuation of AI-generated artworks. Findings reveal concerns about authorship, authenticity, and the displacement of human artists, with a mean rating of 8.0 for concerns about authorship in AI-generated art among SAIC respondents and 8.2 among RCA respondents. Additionally, the study highlights the collaborative potential of AI in enhancing human creativity. Overall, a balanced approach is essential to responsibly integrate AI in the art world, respecting ethical considerations while preserving the essence of human creativity amidst technological advancements.




The Practice of Art and AI


Book Description

Multidisciplinary explorations of AI and its implications for art In this multidisciplinary volume, European ARTificial Intelligence Lab, in partnership with Ars Electronica, considers the incredibly rapid development of Artificial Intelligence in the context of the cyber-arts. Bringing together 13 cultural and six scientific institutions from across Europe, this publication explores the interdisciplinary exchange between art and science and summarizes the accomplishments of the AI Lab since its opening. This guide to the events and exhibitions for this project includes more than 500 reproductions, profiles on featured exhibitors and essays. In keeping with the project's focus on the interplay between art and technology, the book includes QR codes which link the reader to video lectures and other supplementary materials. Artists and researchers include: Eva Smrekar, Eduardo Reck Miranda, Ian Gouldstone, Aarati Akkapeddi, Cecilie Waagner Falkenstrøm, Tega Brain, Sam Lavigne, Hannah Jayanti, Sarah Petkus, Mark J. Koch, Mimi Onuoha, Caroline Sinders, LaJuné McMillian, Victoria Vesna and many more.




AI-Assisted Art: A Creative Revolution


Book Description

This eBook serves as a comprehensive guide to navigating the exciting world of AI-assisted art. It addresses the fears and apprehensions surrounding AI's role in art, emphasizing that AI is not a replacement for human creativity but a powerful tool to enhance it. The book delves into the multifaceted potential of AI for artists, exploring its capabilities in idea generation, prototyping, automation of repetitive tasks, and collaborative creation. It also provides practical advice on selecting the right AI tools, crafting effective prompts, and seamlessly integrating AI into existing artistic workflows. Additionally, the eBook addresses ethical considerations surrounding AI art, emphasizing the importance of responsible AI use and maintaining artistic control. It concludes by highlighting the potential of AI to democratize art creation, making it more accessible and inclusive for everyone.




The Creativity Code


Book Description

“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times




Make Art with Artificial Intelligence


Book Description

MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!




Art in the Age of Machine Learning


Book Description

An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.